Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
OBJECTIVE To develop a model for the prediction of type 2 diabetes mellitus (T2DM) risk on the basis of a multivariate logistic model and 1-h plasma glucose concentration (1-h PG). RESEARCH DESIGN AND ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Imagine having a crystal ball that could peer into the future, revealing valuable insights about what's to come. That's essentially what predictive AI does, minus the mystical hocus-pocus. This type ...
Predictive analytics in financial forecasting analyzes past and present data to improve the accuracy of planning and budgeting. Historically, accountants have depended on manual spreadsheet analysis ...
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